Research

Nakashita, S., and T. Enomoto, 2021: Factors for an Abrupt Increase in Track Forecast Error of Typhoon Hagibis (2019). SOLA, 17A, 33–37, https://doi.org/10.2151/sola.17A-006.

Enomoto, T., and S. Nakashita, 2024: Application of Exact Newton Optimisation to the Maximum Likelihood Ensemble Filter. Tellus A: Dynamic Meteorology and Oceanography, 76, 42–56, https://doi.org/10.16993/tellusa.3255.

Nakashita, S., T. Enomoto, and S. Ishii, 2024: Multi-scale Uncertainty of Mesoscale Convective Systems in the Baiu Frontal Zone: A Case Study from June 2022. J. Meteor. Soc. Japan, 102, 599–631, https://doi.org/10.2151/jmsj.2024-032.

Nakashita, S., and T. Enomoto, 2025: Flow-Dependent Large-Scale Blending for Limited-Area Ensemble Data Assimilation. Tellus A: Dynamic Meteorology and Oceanography, 77, 1–19, https://doi.org/10.16993/tellusa.4089.

Nakashita, S., and T. Enomoto, 2025: Applicability of Ensemble Singular Vectors to a Mesoscale Convective System Over the East China Sea. Geophys. Res. Lett., 52, e2024GL114502, https://doi.org/10.1029/2024GL114502.